Xpeng (XPEV) Net Margin (2019 - 2026)
Xpeng (XPEV) reported Net Margin of -6.77% for Q2 2026, down 4.16 percentage points from -2.61% a year earlier but up 6.92 percentage points from the prior quarter.
Xpeng (XPEV) Net Margin (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Xpeng's Net Margin came in at -4.19%, up 2.95 percentage points year-over-year; for FY2025, it came in at -1.49%, up 12.68 percentage points from FY2024.
- Net Margin has increased for three consecutive years, with a five-year change of +7.81 percentage points (FY2020 to FY2025).
- By year, Net Margin came in at -14.17% in FY2024 (+19.65 pp), -33.82% in FY2023 (+0.21 pp), -34.03% in FY2022 (-10.86 pp) and -23.17% in FY2021 (-13.87 pp).
- Five-year quarterly Net Margin spans a low of -57.94% in Q1 2023 and a high of 1.72% in Q4 2025.
- Year over year, Net Margin gained in six of the last eight quarters, with an average year-over-year change of +9.00 percentage points.
- The high point for year-over-year Net Margin in five years was Q2 2024 (a gain of 39.56 percentage points); the low point was Q1 2023 (a drop of 35.13 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -13.69% (Q1 2026), 1.72% (Q4 2025) and -1.87% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 3.95% |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 11.47% |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 7.44% |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 2.68% |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 23.85% |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | -2.75% |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | -50.24% |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 4.36% |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 0.61% |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | -6.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.77% |
| Mar 31, 2026 | -13.69% |
| Dec 31, 2025 | 1.72% |
| Sep 30, 2025 | -1.87% |
| Jun 30, 2025 | -2.61% |
| Mar 31, 2025 | -4.20% |
| Dec 31, 2024 | -8.26% |
| Sep 30, 2024 | -17.90% |
| Jun 30, 2024 | -15.84% |
| Mar 31, 2024 | -20.89% |
| Dec 31, 2023 | -10.33% |
| Sep 30, 2023 | -45.57% |
| Jun 30, 2023 | -55.40% |
| Mar 31, 2023 | -57.94% |
| Dec 31, 2022 | -45.93% |
| Sep 30, 2022 | -34.82% |
| Jun 30, 2022 | -36.32% |
| Mar 31, 2022 | -22.81% |
| Dec 31, 2021 | -15.04% |
| Sep 30, 2021 | -27.88% |
Xpeng Net Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-margin&ticker=XPEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "XPEV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();